ArticleCirculation. Cardiovascular genetics2017
Multiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale.
Article in Circulation. Cardiovascular genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 10 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
45 citing papers in PubMed, 10 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.Atherosclerosis · 2026Pooled it
- Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.Translational psychiatry · 2025Pooled it
- Gene-Environment Interactions in Inflammatory Bowel Disease: A Systematic Review of Human Epidemiologic Studies.Journal of Crohn's & colitis · 2025Pooled it
- Genome-Wide Interaction Analyses of Serum Calcium on Ventricular Repolarization Time in 125 393 Participants.Journal of the American Heart Association · 2024Pooled it
- Multi-trait discovery and fine-mapping of lipid loci in 125,000 individuals of African ancestry.Nature communications · 2023Pooled it
- Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.Molecular psychiatry · 2021Pooled it
- Lifestyle Risk Score: handling missingness of individual lifestyle components in meta-analysis of gene-by-lifestyle interactions.European journal of human genetics : EJHG · 2021Pooled it
- Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.American journal of epidemiology · 2019Pooled it
- Pooled it
- Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies.International journal of environmental research and public health · 2017Pooled it
- A gene-diet interaction-based score predicts response to dietary fat in the Women's Health Initiative.The American journal of clinical nutrition · 2020Trial
- Discovery of gene-alcohol interaction loci influencing blood pressure in 1.1 million individuals from multiple populations.Research square · 2026Article
- Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives.International journal of molecular sciences · 2026Review
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- An approach to identify gene-environment interactions and reveal new biological insight in complex traits.Nature communications · 2024Article
- Many roads to a gene-environment interaction.American journal of human genetics · 2024Review
- Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.Cell metabolism · 2024Review
- Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure.Hypertension (Dallas, Tex. : 1979) · 2024Article
- A new Approach to Identify Gene-Environment Interactions and Reveal New Biological Insight in Complex traits.Research square · 2023Article
- Genes, environment, and African ancestry in cardiometabolic disorders.Trends in endocrinology and metabolism: TEM · 2023Review
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundSeveral consortia have pursued genome-wide association studies for identifying novel genetic loci for blood pressure, lipids, hypertension, etc. They demonstrated the power of collaborative research through meta-analysis of study-specific results. METHODS AND
resultsThe Gene-Lifestyle Interactions Working Group was formed to facilitate the first large, concerted, multiancestry study to systematically evaluate gene-lifestyle interactions. In stage 1, genome-wide interaction analysis is performed in 53 cohorts with a total of 149 684 individuals from multiple ancestries. In stage 2 involving an additional 71 cohorts with 460 791 individuals from multiple ancestries, focused analysis is performed for a subset of the most promising variants from stage 1. In all, the study involves up to 610 475 individuals. Current focus is on cardiovascular traits including blood pressure and lipids, and lifestyle factors including smoking, alcohol, education (as a surrogate for socioeconomic status), physical activity, psychosocial variables, and sleep. The total sample sizes vary among projects because of missing data. Large-scale gene-lifestyle or more generally gene-environment interaction (G×E) meta-analysis studies can be cumbersome and challenging. This article describes the design and some of the approaches pursued in the interaction projects.
conclusionsThe Gene-Lifestyle Interactions Working Group provides an excellent framework for understanding the lifestyle context of genetic effects and to identify novel trait loci through analysis of interactions. An important and novel feature of our study is that the gene-lifestyle interaction (G×E) results may improve our knowledge about the underlying mechanisms for novel and already known trait loci.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.